[PDF] Top 20 A SURVEY ON SWARM INTELLIGENCE MODELS

... characteristic swarm frameworks to the field of Artificial ..."Swarm Intelligence" was initially presented by ...molecule swarm improvement was presented by ...known swarm ... See full document

... Glow-worm Swarm Optimization (GSO) algorithm was first presented by as an application to collective ...the swarm to divide into disjoint subgroups that can converge to multiple optima of a given multimodal ... See full document

... various Swarm Intelligence algorithm. Swarm Intelligence is based on the collective behaviour of self-organized ...Particle Swarm Optimization for Compression of an ...Particle ... See full document

... customer towards the retailer and brand and the like. Optimal inventory calls for a very well-established communication among members of SC. Transportation cost account for 71% of COD apart from impacting the ... See full document

... like swarm intelligence, bio-inspired, physics/chemistry and many more have helped in solving difficult problems and also provide most favourable ...complete survey of nature inspired ... See full document

... Nature presents many diverse phenomenons. These can be transformed into mathematical algorithms, which, formulates to mathematical algorithms. However, based on the applicability some of these algorithms have reached a ... See full document

... In high dimensional classification tasks, instances belong to one of several classes such as cancer dataset or normal dataset, the main objective is to classify these instances and produce classified instances based on ... See full document

... a survey of vehicular traffic increase in India. In the survey he has noted down the day by day the population is increasing, the number of vehicular use is also ... See full document

... Many scientists have created simulations of computer with various types of interpretations of movements of organisms in fish school and even bird flock. Reynolds and Heppner, Grenander are some of the notable persons who ... See full document

... There is another assumption, too, and one that was not recognized for a long time but that meant that the crisp symbol-processing para- digm could never really succeed. The assumption was revealed by Lotfi Zadeh (see ... See full document

... Swarm intelligence is an artificial intelligence technique involving the study of collective behavior in decentral- ized system, which is made up by populations of simple individuals interacting ... See full document

... popular models that combined ANN with swarm intelligence method includes ANN trained using algorithms such as genetic algorithm (GA), particle swarm optimization (PSO), Differential Evolution ... See full document

... computational intelligence based techniques that is not largely affected by the size and nonlinearity of the problem, and can converge to the optimal solution in many problems were most analytical methods fail to ... See full document

... ANN models were trained using different variants of Particle Swarm Optimization (PSO) ...the models, 76 blasting operations in Hulu Langat were ...ANN models were found to outperform the USBM ... See full document

... Swarm intelligence system can act in a coordinated way without the presence of an external ...coordinator. Swarm intelligence added a new property in artificial intelligence to study ... See full document

... Although the field of swarm intelligence is growing fast day after another which helped in the development of this field. However, this kind of development only increased the number on available solutions ... See full document

... growth models of the Software are consider One of the approaches which is used to describe the single system software behavior, failure and quantify software reliability, (SRGMs) based on data collected during ... See full document

... According to Song et al. (2004), because of the convenience of realization and promising optimization ability in various problems, PSO algorithm has been paid more and more attention to by researchers. Lee et al. (2005) ... See full document

... Gravitational search algorithm (GSA) is a simple well known meta-heuristic search algorithm based on the law of gravity and the law of motion (Rashedi et. al., 2009). It is a swarm intelligence type ... See full document

... In nature several animals live in large swarms like insect colonies, bird flocks or fish schools. The reason is that in the swarm each animal is more effective for evolution than single individuals. Many social ... See full document